https://github.com/GMvandeVen/continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
https://github.com/GMvandeVen/continual-learning

artificial-neural-networks class-incremental-learning continual-learning deep-learning distillation domain-incremental-learning elastic-weight-consolidation generative-models gradient-episodic-memory icarl incremental-learning lifelong-learning replay replay-through-feedback task-incremental-learning variational-autoencoder

Last synced: about 2 months ago
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PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

• Host: GitHub
• URL: https://github.com/GMvandeVen/continual-learning
• Owner: GMvandeVen
• License: mit
• Created: 2018-09-26T19:32:16.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2024-03-21T09:19:26.000Z (6 months ago)
• Last Synced: 2024-04-17T00:19:22.810Z (5 months ago)
• Topics: artificial-neural-networks, class-incremental-learning, continual-learning, deep-learning, distillation, domain-incremental-learning, elastic-weight-consolidation, generative-models, gradient-episodic-memory, icarl, incremental-learning, lifelong-learning, replay, replay-through-feedback, task-incremental-learning, variational-autoencoder
• Language: Jupyter Notebook
• Homepage:
• Size: 3.14 MB
• Stars: 1,442
• Watchers: 29
• Forks: 301
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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